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PV 시스템의 최적 배치 문제를 위한 이산 PSO에서의 규칙 기반 하이브리드 이산화
송화창(Hwachang Song),고재환(Jae-Hwan Ko),최병욱(Byoung-Wook Choi) 한국지능시스템학회 2011 한국지능시스템학회논문지 Vol.21 No.6
본 논문은 배전망에서의 PV (photovoltaic) 발전 시스템의 최적 배치 문제를 이산 입자 군집 최적화 (DPSㅇ,discrete particle swarm optimization)를 이용하여 해를 구할 때 DPSO에 포함되어야 하는 이산화 단계를 위한 하이브리드 이산화 기법의 적용에 대하여 논한다. 이를 위해 PSO 반복단계에서 목적 함수 값과 최적화 속도를 입력 파라미터로 하는 규칙 기반 전문가 시스템을 제안하고 이산 변수를 포함하여 표현되는 PV 시스템 배치 문제의 최적해를 구하는 데 적용하였다. 다수준 이산화를 위하여 간단한 라운딩과 sigmoid 함수를 이용한 3단계 및 5단계 이산화 기법을 하이브리드 형태로 적용하였다. 규칙 기반 전문가 시스템을 적용하여 각 PSO 과정에서 적절한 이산화 기법을 선택함으로써 기존의 DPSO보다 좋은 성능의 최적화가 가능하도록 하였다. This paper discusses the application of a hybrid discretiziation method for the discretization procedure that needs to be included in discrete particle swarm optimization (DPSO) for the problem of allocating PV (photovoltaic) systems onto distribution power systems. For this purpose, this paper proposes a rule-based expert system considering the objective function value and its optimizing speed as the input parameters and applied it to the PV allocation problem including discrete decision variables. For multi-level discretization, this paper adopts a hybrid method combined with a simple rounding and sigmoid funtion based 3-step and 5-step quantization methods, and the application of the rule based expert system proposing the adequate discretization method at each PSO iteration so that the DPSO with the hybrid discretization can provide better performance than the previous DPSO.
宋和昌(Hwachang Song),로델도사노(Rodel D. Dosano) 대한전기학회 2007 전기학회논문지 Vol.56 No.6
This paper presents a methodology to calculate an optimal solution of equilibrium to differential algebraic equations for power systems. It employs a nonlinear interior point method to solve the optimization formulation which includes dynamic equations representing the two-axis synchronous generator model with AVR and speed governing controls, algebraic equations, and steady-state nonlinear loads. This paper also adopts two algorithms for the improvement of solution convergence. In power system analysis and control, equilibrium optimization (EOPT) is applicable for diverse purposes that need the consideration of dynamic model characteristics at a steady-state condition.
송화창(Hwachang Song),김영곤(Young-Gon Kim),이병준(Byongjun Lee) 대한전기학회 2008 대한전기학회 학술대회 논문집 Vol.2008 No.11
This paper present a practical method for long-term voltage stability simulation based on a governor-response power flow. Governor-response power flow (GPF) is to model the long-term system response in the interval from 3 to 30 seconds after disturbance. In this paper, it is assumed that the GPF model can capture the system state before load restoration starts in contingent conditions. This paper discusses the applicability of GPF to long-term simulation for voltage stability analysis and then explains the GPF formulation and the procedure of the proposed simulation. In addtion the paper includes the simulation results with the modified New England 39-bus system.
증배형 부하회복 모델을 포함하는 연속법 기반 준정적 해석
송화창(Hwachang Song),Venkatanamana Ajjarapu 제어로봇시스템학회 2008 제어·로봇·시스템학회 논문지 Vol.14 No.2
This paper presents a new continuation-based quasi-steady-state(CQSS) time-domain simulation algorithm incorporating a multiplicative aggregated load model for power systems. The authors" previous paper introduced a CQSS algorithm, which has the robust convergent characteristic near the singularity point due to the application of a continuation method. The previous CQSS algorithm implemented the load restoration in power systems using the exponent-based load recovery model that is derived from the additive dynamic load model. However, the reformulated exponent-based model causes the inappropriate variation of short-term load characteristics when switching actions occur, during time-domain simulation. This paper depicts how to incorporate a multiplicative load restoration model, which does not have the problem of deforming short-term load characteristics, into the time simulation algorithm, and shows an illustrative example with a 39-bus test system.
송화창(Hwachang Song),조성구(Sung-Koo Cho) 대한전기학회 2010 전기학회논문지 Vol.59 No.5
This paper presents a method of finding the optimal operating point minimizing a given objective function with 3 phase power flow equations and operational constraints, called 3 phase optimal power flow (3POPF). 3 phase optimal power flow can provide operation and control strategies for the distribution systems with distributed generation assets, which might be frequently in unbalanced conditions assuming that high penetration rate of renewable energy sources in the systems. As the solution technique for 3POPF, this paper adopts a simulation-based method of particle swarm optimization (PSO). In the PSO based 3POPF, a utility function needs to be defined for evaluation of the degree in operational improvement of each particle's current position. To evaluate the utility function, in this paper, NR-based 3 phase power flow algorithm was developed which can deal with looped distributed generation systems. In this paper, illustrative examples with a 5-bus and a modified IEEE 37-bus test systems are given.
이산 Particle Swarm Optimization을 위한 다 수준 양자화 기법
송화창(Hwachang Song),라이언 디올라타(Ryan Diolata),주영훈(Younghoon Joo) 한국지능시스템학회 2009 한국지능시스템학회 학술발표 논문집 Vol.19 No.1
본 논문은 이산 PSO 문제에서 연속 값을 갖는 중간 해를 다중 값의 이산변수로 변환하는 기법을 설명하고자 한다. 본 논문은 다 수준 이산화를 위하여 지수 2의 멱급수로써 sigmoid 함수를 다 수준으로 분할하며, 이를 PSO의 이동 방정식에서 결정된 연속 값을 갖는 각 particle의 중간 해에 대한 이산화에 적용한다. 본 알고리즘을 배전시스템의 Photovoltaic 시스템 할당 문제에 적용하여 수치적 결과를 획득하고, GA 기법을 이용한 결과와 비교하여 그 적용가능성을 설명하고자 한다.