“…Based on the above assumptions, the probability distribution of the states at hour t in scenario k can be calculated as (7) and (8). The expression of the conditional probability related to (8) and the derivation of (8) are illustrated in the Appendix.…”
Section: Battery Energy Storage System Modelingmentioning
confidence: 99%
“…The expression of the conditional probability related to (8) and the derivation of (8) are illustrated in the Appendix.…”
Section: Battery Energy Storage System Modelingmentioning
confidence: 99%
“…A reliability index is usually treated as either an objective [3] or a constraint [2], [4], [7], which can be evaluated using analytical methods [7]- [8], or Monte Carlo simulation [9], [10]. To consider the impacts of the volatility of power outputs of the distributed generators on the system reliability, multistate models are developed in [11], [12]- [13].…”
Section: Introductionmentioning
confidence: 99%
“…However, these studies have paid little attention to modeling of the BESS used to balance power for RESs. A probabilistic model for BESS is introduced in [7], [8], considering multiple states of state of charge (SOC) and probability associated with each state.…”
Section: Introductionmentioning
confidence: 99%
“…Then, an approximate analytical model for reliability evaluation of BESS is demonstrated, cooperating with multistate models for DGs [16] and WTGs [12], to assess the reliability performances of various system configurations. The proposed model for BESS takes into account the forced outage rates (FORs) of equipment, which is different from the one developed in [7], [8].…”
This paper proposes a new method for the planning of stand-alone microgrids. By means of clustering techniques, possible operating scenarios are obtained considering the daily patterns of wind and load profiles. Then, an approximate analytical model for reliability evaluation of battery energy storage system is developed in terms of the diverse scenarios, along with multistate models for wind energy system and diesel generating system. An optimal planning model is further illustrated based on the scenarios and the reliability models, with the objective of minimizing the present values of the costs occurring within the project lifetime, and with the constraints of system operation and reliability. Finally, a typical stand-alone microgrid is studied to verify the efficiency of the proposed method.
“…Based on the above assumptions, the probability distribution of the states at hour t in scenario k can be calculated as (7) and (8). The expression of the conditional probability related to (8) and the derivation of (8) are illustrated in the Appendix.…”
Section: Battery Energy Storage System Modelingmentioning
confidence: 99%
“…The expression of the conditional probability related to (8) and the derivation of (8) are illustrated in the Appendix.…”
Section: Battery Energy Storage System Modelingmentioning
confidence: 99%
“…A reliability index is usually treated as either an objective [3] or a constraint [2], [4], [7], which can be evaluated using analytical methods [7]- [8], or Monte Carlo simulation [9], [10]. To consider the impacts of the volatility of power outputs of the distributed generators on the system reliability, multistate models are developed in [11], [12]- [13].…”
Section: Introductionmentioning
confidence: 99%
“…However, these studies have paid little attention to modeling of the BESS used to balance power for RESs. A probabilistic model for BESS is introduced in [7], [8], considering multiple states of state of charge (SOC) and probability associated with each state.…”
Section: Introductionmentioning
confidence: 99%
“…Then, an approximate analytical model for reliability evaluation of BESS is demonstrated, cooperating with multistate models for DGs [16] and WTGs [12], to assess the reliability performances of various system configurations. The proposed model for BESS takes into account the forced outage rates (FORs) of equipment, which is different from the one developed in [7], [8].…”
This paper proposes a new method for the planning of stand-alone microgrids. By means of clustering techniques, possible operating scenarios are obtained considering the daily patterns of wind and load profiles. Then, an approximate analytical model for reliability evaluation of battery energy storage system is developed in terms of the diverse scenarios, along with multistate models for wind energy system and diesel generating system. An optimal planning model is further illustrated based on the scenarios and the reliability models, with the objective of minimizing the present values of the costs occurring within the project lifetime, and with the constraints of system operation and reliability. Finally, a typical stand-alone microgrid is studied to verify the efficiency of the proposed method.
Power quality has become one of the most vital challenges in the planning of smart distribution grids due to popularity and myriad applications of power electronic devices. This paper introduces a new method based on network reconfiguration to efficiently deliver the energy demand of standalone Diesel/ PV/Battery microgrids with improved power quality. The feeder reconfiguration is performed to decrease power loss, decrease the total harmonic distortion (THD), and improve voltage sag indices. Mathematical models of Diesel/PV/ Battery standalone system are integrated with harmonic power flow algorithms to implement the concept. Reconfiguration algebraic equations along with nonlinearities introduced by Diesel/PV/Battery standalone system are solved by means of Non-Dominated Sorting Differential Evolution Algorithm (NDSDEA). The proposed methodology is carried out on a 33-bus standalone microgrid. The results have shown that reconfiguration not only improves the overall
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